Robust Learning

3DeformRS: Certifying Spatial Deformations on Point Clouds CVPR 2022 Anytime Guarantees under Heavy-Tailed Data AAAI 2022 Byzantine-tolerant federated Gaussian process regression for streaming data NeurIPS 2022 Clustering with Queries under Semi-Random Noise COLT 2022 Corruption-Robust Contextual Search through Density Updates COLT 2022 Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022 Distributionally robust weighted k-nearest neighbors NeurIPS 2022 List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering NeurIPS 2022 Minimax Regret Optimization for Robust Machine Learning under Distribution Shift COLT 2022 On Learning Contrastive Representations for Learning With Noisy Labels CVPR 2022 On the well-spread property and its relation to linear regression COLT 2022 Overparameterization from Computational Constraints NeurIPS 2022 Robust Kernel Density Estimation with Median-of-Means principle ICML 2022 Robustly-reliable learners under poisoning attacks COLT 2022 Robust Product Classification with Instance-Dependent Noise ACL 2022 Robust Reinforcement Learning using Offline Data NeurIPS 2022 RoLNiP: Robust Learning Using Noisy Pairwise Comparisons ACML 2022 STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing EMNLP 2022 Adversarially Robust Learning with Unknown Perturbation Sets COLT 2021 Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NeurIPS 2021 Consistent regression when oblivious outliers overwhelm ICML 2021 DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021 Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent ICLR 2021 DualGraph: A Graph-Based Method for Reasoning About Label Noise CVPR 2021 Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions COLT 2021